Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Shrawan Kumar Trivedi, Shubhamoy Dey, Anil Kumar, Tapan Kumar Panda
Release Date: February, 2017|Copyright: © 2017 |Pages: 438
DOI: 10.4018/978-1-5225-2031-3
ISBN13: 9781522520313|ISBN10: 1522520317|EISBN13: 9781522520320
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Description & Coverage
Description:

The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges.

The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Business Activity Monitoring
  • Data Warehousing
  • Forecasting
  • Mining Data Streams
  • Performance measurement
  • Text Mining
  • Visualization Techniques
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Editor/Author Biographies
Shrawan Kumar Trivedi is an assistant professor of Information Systems in the School of Management at BML Munjal University. He has completed his Fellow (FPM) from Indian Institute of Management Indore. Prior to this, he did his M.Tech (IT) from Indian Institute of Information Technology Allahabad, M.Sc. (Electronics) from University Institute of Technology, C.S.J.M. University Kanpur and B.Sc (PCM) from C.S.J.M. University Kanpur. He has his expertise in Data Mining, Text Mining and Big Data. His area of interest includes Business Intelligence and Analytics, Management Information Systems, Enterprise Resource Planning, Knowledge Management, IT Strategy etc. He also has expertise in several software tools like SPSS, SAS, Matlab, Clementine and some other business analytics tools. In addition to this, he has published his research papers in reputed international journals and presented his research in many international conferences. His papers can be viewed in IEEE Xplore, ACM portals and many peer reviewed journals. In his academics, he has done many projects like Wireless Transmitter, PC Remote, Power Amplifier, E10 B switching Systems, GSM etc. During his M.Tech (IT), he has worked on Wireless Sensor Network where he has designed a new protocol for routing. In his FPM, he has worked on Text mining and developed some new algorithms for classification. His research interest includes Text Mining, Data Mining, Big Data, Inter Organisation Systems and applications like Spam Classification, Sentiment Analysis etc.
Shubhamoy Dey is a professor of information systems at Indian Institute of Management Indore, India. He completed his Ph. D from the School of Computing, University of Leeds, UK, and Master of Technology from Indian Institute of Technology (IITKharagpur). He specializes in Data Mining and has 25 years of research, consulting and teaching experience in UK, USA and India.
Anil Kumar is a faculty of Operation Management and Quantitative Techniques in the School of Management at BML Munjal University, Gurgaon India. He completed his Ph.D in Management Science from Indian Institute of Information Technology and Management, Gwalior. He earned his MBA, MSc (Mathematics) from Department of Mathematics (Kurukshetra University, Kurukshetra) and Graduation in Mathematics-Hons from the same University. He also qualified UGC-NET. He published more than 27 research papers/book chapters and also four books in his credit. His research interest includes marketing analytics, multi-criteria decision making, fuzzy multi-criteria decision making, fuzzy optimisation, application of soft-computing and econometrics modelling in marketing, multi-criteria decision making and fuzzy applications in e-commerce and M-commerce.
Tapan Panda is an alumnus of University of Houston, USA, where he completed an MBA in Global Energy. He holds a PhD in Business Administration. He has worked as a full-time faculty member at 3 IIMs – Lucknow, Kozhikode and Indore. He has also officiated as Director, Indian Institute of Management, Indore before joining Everonn Education Limited (a BSE and NSE listed company) as its president -marketing & corporate affairs. He has more than twenty years of academic experience in marketing, branding and customer relationship management. He was also Director at Great Lakes Institute of Management, Chennai. He has visited C.T. Bauer College, University of Houston, Texas, USA; University of Cincinnati, Ohio, USA; Fudan University, Shanghai, China; on visiting academic assignments. He has trained people from reputed organizations like ONGC, GAIL, SAIL, EIL, HUL, LG, AXIS Bank, and TVS Motors. He is a member of American Marketing Association (AMA), National Board of Accreditation (NBA), and AIMA. He has published extensively in reputed national and international journals and presented in international conferences across the world. He has more than 50 research papers and16 books to his credit. His books include: Sales and Distribution Management (Oxford University Press), Marketing Management (Excel Books), Tourism Management (Orient Longman). He is a regular contributor to business newspapers and magazines; and has participated in CNBC and Zee Business programmes
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